scholarly journals Dielectric spectroscopy as a condition monitoring technique for cable insulation based on crosslinked polyethylene

2015 ◽  
Vol 44 ◽  
pp. 135-142 ◽  
Author(s):  
E. Linde ◽  
L. Verardi ◽  
D. Fabiani ◽  
U.W. Gedde
Keyword(s):  
Condition Monitoring ◽  
Dielectric Spectroscopy ◽  
Cable Insulation ◽  
Monitoring Technique

Application of Modern Emission Spectrography in Oil Monitoring

2011 ◽  
Vol 138-139 ◽  
pp. 723-726
Author(s):  
Bo Jian Yu ◽  
Xin Nian Li ◽  
Xu Feng Jiang
Keyword(s):  
Condition Monitoring ◽  
Analytical Process ◽  
The Core ◽  
Monitoring Technique ◽  
Oil Monitoring

In this paper, the principles of modern emission spectrography technique was described and the analytical process and characteristics of it was introduced. Based on an review of its application in equipment oil monitoring, emission spectrography was thought a very valuable technique of lubricants condition monitoring. Now, emission spectrography has become the core of the modern oil monitoring technique, and its development and application prospect are extremely wide.

scholarly journals Railway Axle Condition Monitoring Technique Based on Wavelet Packet Transform Features and Support Vector Machines

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3575 ◽  
Author(s):  
María Jesús Gómez ◽  
Cristina Castejón ◽  
Eduardo Corral ◽  
Juan Carlos García-Prada
Keyword(s):  
Condition Monitoring ◽  
Wavelet Packet ◽  
Wavelet Packet Transform ◽  
Support Vector ◽  
Good Reliability ◽  
Railway Axle ◽  
Monitoring Technique ◽  
The Status ◽  
Minimum Number ◽  
Diagnosis Model

Railway axles are critical to the safety of railway vehicles. However, railway axle maintenance is currently based on scheduled preventive maintenance using Nondestructive Testing. The use of condition monitoring techniques would provide information about the status of the axle between periodical inspections, and it would be very valuable in the prevention of catastrophic failures. Nevertheless, in the literature, there are not many studies focusing on this area and there is a lack of experimental data. In this work, a reliable real-time condition-monitoring technique for railway axles is proposed. The technique was validated using vibration measurements obtained at the axle boxes of a full bogie installed on a rig, where four different cracked railway axles were tested. The technique is based on vibration analysis by means of the Wavelet Packet Transform (WPT) energy, combined with a Support Vector Machine (SVM) diagnosis model. In all cases, it was observed that the WPT energy of the vibration signals at the first natural frequency of the axle when the wheelset is first installed (the healthy condition) increases when a crack is artificially created. An SVM diagnosis model based on the WPT energy at this frequency demonstrates good reliability, with a false alarm rate of lower than 10% and defect detection for damage occurring in more than 6.5% of the section in more than 90% of the cases. The minimum number of wheelsets required to build a general model to avoid mounting effects, among others things, is also discussed.

A Practical On-Board SiC MOSFET Condition Monitoring Technique for Aging Detection

2020 ◽  
Vol 56 (3) ◽  
pp. 2828-2839 ◽  
Author(s):  
Shi Pu ◽  
Fei Yang ◽  
Bhanu Teja Vankayalapati ◽  
Enes Ugur ◽  
Chi Xu ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Monitoring Technique
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